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Ioannis TsarmantidisIT

Ioannis Tsarmantidis

Data Scientist | SAP S/4HANA Data Migration

€560/day
Leipzig, DE
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Ioannis

Freelance Data Scientist & BI Consultant (Python/SQL/Power BI) with Big-4 experience (PwC, Deloitte).

I support companies in analyzing and visualizing data from SAP S/4HANA and heterogeneous sources (e.g., Navision, Diamant, AS400, CADMATIC) in an understandable way: Data Profiling, Data Quality & Reconciliation, Anomaly and Trend Analysis, as well as interactive Power BI Dashboards with clear KPIs. My advantage: Strong Finance & Operations know-how (e.g., open items, inventories, material/master data) plus audit mindset for traceable, documented analyses.

Services
• Data Analysis: Profiling, Cleansing, Duplicates, Deviation/Root Cause Analysis, Open Item Reconciliation
• Data Science / AI: Pattern Recognition, Log Analysis, Clustering/Anomaly Scoring – scalable via own server environment (Docker)
• Visualization: Power BI (DAX/Power Query), KPI Dashboards, Drill-downs, Heatmaps, Automated Refresh
• Data Engineering (light): SQL (SAP HANA/PostgreSQL), Staging Models, API/SFTP/CSV Feeds, Monitoring/Logging

Tech Stack
Power BI · Python (pandas/NumPy) · Alteryx · SQL · Excel · Docker

Examples
• Open Item Analyses & Dashboards (Diamant/Navision) incl. KPIs/Deviations
• Anomaly Detection in Large Financial Datasets (JET Analytics) + Power BI
• Dashboards with Integrated Python Script for Automatic Checks/Drill-downs
  • German

    Native or bilingual

  • English

    Fluent

  • Greek

    Basic

  • Russian

    Basic

Can work on-site
Leipzig (up to 50km)

Experience

  • Werft
    SAP Data Migration and Data Analysis
    MECHANICAL ENGINEERING
    September 2025 - Today (9 months)
    As a freelancer, I support a shipyard (2 accounting entities) in data-driven quality assurance in the SAP S/4HANA MM environment. The focus is on the analysis and validation of an already completed S/4HANA migration of material master data and material-related master data: Using a Python tool, I perform success and plausibility checks, identify deviations and recurring error patterns, and verify findings directly in SAP/Fiori. Based on this, I define reconciliation rules (e.g., for material structure and views), derive root causes, and implement corrective actions. In parallel, I am preparing the expansion to an additional accounting entity, analyzing material structures, and supporting object/field mapping as well as template maintenance in Migration Cockpit/LTMOM, including test runs and re-runs. For the analysis, I connect source systems such as AS400 and CADMATIC as well as data from previous migrations and provide the results in a Power BI Dashboard; I am currently expanding this with an integrated Python script for automated checks and SAP drill-downs for root cause analysis. Technologies: SAP S/4HANA (Fiori), Python (pandas), Power BI (Power Query), AS400, CADMATIC, Excel/CSV, LTMOM.
    Python SAP Migration SAP MM AS400 CADMATIC
  • Krankenhaus
    SAP Data Migration and Data Analysis / Process Automation
    MEDICAL
    August 2025 - Today (10 months)
    As a freelancer, I support a hospital group (21 accounting entities) at the interface of audit, finance analytics, and SAP S/4HANA Public Cloud. I accompany the PwC-side IT audit/annual financial statement audit (requirements, data extracts, traceability, closing) and document existing migrations and interfaces in runbooks, processes, and QA checks. Operationally, I plan, configure, and execute DB-to-DB or Migration Cockpit runs (incl. LTMOM) for FI (G/L accounts, open items A/R & A/P), AA, CO, BP, and MM, and develop scripts/tooling for automation, logging, and re-runs. For data quality, I implement Fiori-based completeness and plausibility checks, log analyses, and correction loops, combining Python/Alteryx with HANA SQL staging and performance optimization. A focus is on cross-system open item analyses: consolidated OP reconciliations, automated export from Diamant, and Diamant/Navision evaluations up to Power BI dashboards with KPIs and deviations. Additionally, I optimize EMR integrations (xViaNova Navision incl. YTD logic, validation, audit logging, notifications, and sync concept) and standardize further EMR systems via templates, documentation/enablement, and API/SFTP/CSV transfers. Technologies: SAP S/4HANA Public Cloud (Fiori), Python (pandas), Alteryx, HANA SQL/SQLScript, Power BI, Diamant, Navision, xViaNova, API/SFTP/CSV, Git, Docker.
    Python Migration Cockpit SQL SAP FICO sap
  • PwC Germany,
    Associate - SAP Data Migration
    October 2023 - May 2025 (1 year and 7 months)
    04 Leipzig, Germany
    While working at PwC Germany, executed end-to-end migrations from SAP R/3 and diverse legacy systems to SAP S/4HANA Cloud. Utilised SAP Migration Cockpit, HANA SQL Script, bespoke ETL routines, Alteryx Designer workflows and Python (pandas) scripts for data profiling, cleansing, deduplication and reconciliation of datasets. Deliverables reduced migration defects and cycle time, enabling on-schedule go-lives and avoiding costly rework for clients and PwC.
    SAP S/4HANA Python SAP Migration Alteryx Migration Cockpit

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Education

  • Bachelor of Science
    Martin-Luther-University Halle-Wittenberg
    Bachelor of Science

Skill set

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